Apache Druid is a high-performance, distributed analytics database designed for real-time ingestion and fast querying of large-scale data. It's optimized for time-series data and provides sub-second query performance for analytical workloads.
Change Data Capture (CDC) is a design pattern that identifies and captures changes made to data in a database, then delivers those changes in real-time to downstream systems. CDC enables real-time data integration, synchronization, and streaming analytics across heterogeneous systems.
This guide covers integrating Change Data Capture (CDC) with Apache Kafka to create real-time data streaming pipelines. We'll explore Kafka Connect, Debezium, and custom implementations for building robust CDC systems.